<p>The networks measures for the control group (green), the entire patient group (EP, blue) and the impaired patient group (IP, red) as a function of sparsity. (A) Network parameters for the functional networks. (B) Network parameters for the structural networks. Symbols for statistical comparison: *: p<0.05 for EP versus control group, ∧: p<0.05 for IP versus control group.</p
<p>The distance of connections in brain networks of control group (blue) and patient group (red) wer...
<p>A) Nodal strength in high-resolution networks B) weighted normalized clustering coefficient in hi...
<p>A) mean clustering coefficient B) characteristic path length C) clustering coefficient normalized...
<p>(A) Differences between the HC and PM groups in subjects' structural networks. The black solid po...
<p>Values are represented as the mean (S.D.). For each participant, two functional connectivity netw...
<p>Network modularity of functional brain networks as a function of sparsity among PD patients and n...
<p>Inserts in each figure are the area under the curve (AUC) statistics for each metric.</p
<p>Averaged over the 12 subjects in each group (normal and abnormal). The two groups are indistingui...
<p>λ = normalized shortest path length, γ = normalized clustering coefficient, E<sub>glob</sub> = gl...
An increasing number of network metrics have been applied in network analysis. If metric relations w...
<p>(A) The size of the largest connected component of structural networks as function of sparsity, (...
<p>(A) A within-group analysis of resting-state networks in healthy controls and patients. Hollow ci...
<p>Panels plot group-wise graph-theoretic metrics averaged over all connection densities considered....
<p>The error bar represents the standard deviation of a parameter at a given sparsity across all sub...
<p>The graphs show the changes in <i>γ</i> (solid line) and <i>λ</i> (dashed line) in the functional...
<p>The distance of connections in brain networks of control group (blue) and patient group (red) wer...
<p>A) Nodal strength in high-resolution networks B) weighted normalized clustering coefficient in hi...
<p>A) mean clustering coefficient B) characteristic path length C) clustering coefficient normalized...
<p>(A) Differences between the HC and PM groups in subjects' structural networks. The black solid po...
<p>Values are represented as the mean (S.D.). For each participant, two functional connectivity netw...
<p>Network modularity of functional brain networks as a function of sparsity among PD patients and n...
<p>Inserts in each figure are the area under the curve (AUC) statistics for each metric.</p
<p>Averaged over the 12 subjects in each group (normal and abnormal). The two groups are indistingui...
<p>λ = normalized shortest path length, γ = normalized clustering coefficient, E<sub>glob</sub> = gl...
An increasing number of network metrics have been applied in network analysis. If metric relations w...
<p>(A) The size of the largest connected component of structural networks as function of sparsity, (...
<p>(A) A within-group analysis of resting-state networks in healthy controls and patients. Hollow ci...
<p>Panels plot group-wise graph-theoretic metrics averaged over all connection densities considered....
<p>The error bar represents the standard deviation of a parameter at a given sparsity across all sub...
<p>The graphs show the changes in <i>γ</i> (solid line) and <i>λ</i> (dashed line) in the functional...
<p>The distance of connections in brain networks of control group (blue) and patient group (red) wer...
<p>A) Nodal strength in high-resolution networks B) weighted normalized clustering coefficient in hi...
<p>A) mean clustering coefficient B) characteristic path length C) clustering coefficient normalized...